Arturo Benayas Ayuso | Generative Artificial Intelligence | Best Researcher Award

Posted on by Academic achievements

Prof. Arturo Benayas Ayuso | Generative Artificial Intelligence | Best Researcher Award

PhD Candidate at Polytechnic University of Madrid, Spain

Arturo Benayas Ayuso is a highly skilled naval architect with over two decades of experience in naval shipbuilding, digitization, and PLM (Product Lifecycle Management) systems integration. Known for his contributions to advancing digital solutions in the naval sector, he currently leads the integration efforts for NAVANTIA’s “El Cano” platform, which leverages cutting-edge technologies under the Industry 4.0 paradigm. This platform integrates complex processes in ship design, construction, and maintenance, marking a significant stride in naval digitization. Arturo is recognized for his leadership, technical expertise, and commitment to continuous improvement, which have consistently contributed to both national defense and international maritime innovation. His career reflects a dynamic blend of hands-on expertise, theoretical knowledge, and thought leadership within his field.

Profile

ORCID

Education

Arturo’s educational background is grounded in naval architecture, with a Master’s degree from the prestigious Universidad Politécnica de Madrid. His specialized training in marine motors provided him with a strong foundation for understanding the technical demands of naval engineering. Currently, Arturo is pursuing a PhD focused on IoT applications in ship design, construction, and management, further expanding his research in digitalization and its transformative impacts on the naval industry. His academic pursuits are complemented by numerous advanced courses in PLM platforms, machine learning, and materials science, reflecting his commitment to staying at the forefront of technological advancements relevant to his field.

Professional Experience

Arturo’s professional career spans pivotal roles in renowned engineering firms and projects within the naval and aerospace industries. His experience includes serving as a Technical Account Manager, Solution Architect, and Associate Manager, where he has spearheaded complex PLM integrations, notably in projects such as the Spanish Navy’s S80P submarine and the collaborative development of the Royal Navy’s CVF program. His role as Integration Lead for the “El Cano” platform exemplifies his capability to manage large teams, oversee end-to-end PLM implementations, and introduce digital solutions that optimize naval operations on an international scale. Throughout his career, Arturo has contributed to innovative projects, ensuring seamless transitions across software platforms and providing critical support for project management in challenging environments.

Research Interests

Arturo’s research interests lie at the intersection of naval architecture, digital transformation, and the Internet of Things (IoT). His doctoral research focuses on applying IoT to streamline and enhance various stages of ship design, manufacturing, and management. By leveraging data analytics, he explores ways to optimize shipbuilding efficiency and reduce costs. Arturo is also passionate about cybersecurity in IoT networks, recognizing the importance of robust security measures in protecting sensitive maritime operations. Additionally, he has an interest in machine learning and its potential applications in automating design processes, which could significantly advance naval engineering and shipyard productivity.

Awards and Recognitions

While Arturo has not received specific awards to date, his role as a thought leader and influential practitioner in naval PLM integration has earned him considerable recognition in his field. His significant contributions to NAVANTIA’s “El Cano” platform have been widely regarded as a benchmark for digital transformation within the naval industry. Furthermore, his insights on naval digitization and IoT applications in shipbuilding have been published in respected journals and presented at international conferences. These accomplishments underscore his impact on the industry and his commitment to innovation.

Publications

Benayas Ayuso, A. & Cebollero, A. (2011). “Integrated Development Environment in Shipbuilding Computer Systems.” ICAS Conference Paper. Cited by 17.
Benayas-Ayuso, A., & Pérez Fernández, R. (2018). “Automated/Controlled Storage for an Efficient MBOM Process in the Shipbuilding Managing the IoT Technology.” RINA Smart Ship Technology. Cited by 22.
Pérez Fernández, R., & Benayas-Ayuso, A. (2018). “Data Management for Smart Ship or How to Reduce Machine Learning Cost in IoS Applications.” RINA Smart Ship Technology. Cited by 18.
Benayas-Ayuso, A., & Pérez Fernández, R. (2019). “What does the Shipbuilding Industry Expect from the CAD/CAM/CAE Systems in the Next Years?” Naval Architect Magazine. Cited by 13.
Benayas Ayuso, A. (2021). “Internet of Things Cybersecurity – Blockchain as First Securitisation Layer of an IoT Network.” In Introduction to IoT in Management Science and Operations Research. Cited by 25.

Conclusion

Arturo Benayas Ayuso’s career exemplifies a blend of practical expertise and research-driven innovation. His contributions to naval digitalization, particularly through his work on the “El Cano” platform, highlight his commitment to integrating advanced technologies in shipbuilding. Arturo’s focus on IoT and cybersecurity, coupled with his passion for teaching, positions him as a forward-thinking leader in his field. As he continues to contribute to the academic and professional spheres, his research has the potential to reshape naval engineering, making him a strong candidate for the Best Researcher Award. His work reflects a dedication to innovation, resilience in navigating complex projects, and a vision for the future of naval architecture and digital integration.

Natasha Christabelle Santosa | Artificial Intelligence | Best Researcher Award

Posted on by Academic achievements

Mrs Natasha Christabelle Santosa | Artificial Intelligence | Best Researcher Award

Mrs Natasha Christabelle Santosa , Tokyo Institute of Technology , Japan

Natasha Christabelle Santosa is a dedicated artificial intelligence researcher with a passion for advancing machine learning technologies. Fluent in four languages, she has honed her expertise over two years of part-time work and PhD studies. Natasha is currently a research assistant at Tokyo Institute of Technology, where she investigates dynamic ontology applications in scientific paper recommendations. Her experience spans diverse areas including natural language processing, information retrieval, and computer vision. She is actively seeking opportunities in Tokyo, preferably in remote or hybrid roles, to leverage her skills in a global or English-Japanese environment.

Publication Profile

Google Scholar

Strengths for the Award

  1. Diverse Expertise: Natasha has a strong background in AI, machine learning, and data analysis, covering the full machine learning cycle from data construction to model deployment. Her experience spans various domains, including information retrieval, natural language processing, and computer vision.
  2. Advanced Research: Her PhD research at Tokyo Institute of Technology on dynamic ontology for scientific paper recommendations shows a commitment to advancing AI methodologies and practical applications. Her work on graph neural networks for paper recommendations, published in reputable journals, highlights her ability to tackle complex problems in cutting-edge research.
  3. Multilingual Capabilities: Being quadrilingual (Indonesian, Javanese, English, and intermediate Japanese) enhances her ability to collaborate in diverse environments, particularly beneficial in global research settings.
  4. Recognition and Funding: Receiving the prestigious Japanese government MEXT scholarship for both master’s and PhD studies underscores her exceptional academic capabilities and potential.

Areas for Improvement

  1. Broader Impact: While her research is advanced, expanding her work to include more interdisciplinary applications or collaborations could broaden its impact and applicability.
  2. Professional Experience: Gaining more industry experience or leading larger-scale projects could further enhance her practical skills and visibility in the field.
  3. Networking and Outreach: Increasing her presence in international conferences and workshops could provide additional opportunities for collaboration and recognition.

Education

Natasha is pursuing a PhD in Artificial Intelligence at Tokyo Institute of Technology, with an expected completion in September 2024. Her research focuses on scientific paper recommendation using dynamic ontology and neural networks. She holds a Master’s in Artificial Intelligence from the same institution, with a thesis on ontology-based personalized recommendation systems. Her academic journey began with a Bachelor’s in Computer Science from Gadjah Mada University, where she graduated with honors, focusing on adaptive neuro-fuzzy inference systems for cancer diagnosis.

Experience

Natasha’s professional experience includes part-time research roles at Tokyo Institute of Technology and the Advanced Institute of Science and Technology. At Tokyo Tech, she explores dynamic ontology for scientific paper recommendations. Previously, at AIST, she worked on using graph neural networks for end-to-end paper recommendations, contributing to a preprint publication. Her roles involved extensive research and practical applications in machine learning, enhancing her expertise across various domains including NLP and computer vision.

Research Focus

Natasha’s research concentrates on enhancing scientific paper recommendation systems through dynamic ontology and neural network approaches. Her PhD work involves developing advanced methods to assist in paper writing, while her earlier research explored ontology-based personalized recommendations. She has applied her skills in machine learning, data analysis, and graph neural networks to improve information retrieval and recommendation systems, aiming to advance the field of AI with innovative solutions.

Publications Top Notes

📄 N. C. Santosa, X. Liu, H. Han, J. Miyazaki. 2023. S3PaR: Section-Based Sequential Scientific Paper Recommendation for Paper Writing Assistance. In Knowledge Based Systems [in press]

📄 N. C. Santosa, J. Miyazaki, H. Han. 2021. Automating Computer Science Ontology Extension with Classification Techniques. In IEEE Access, Vol. 9, pp.161815-161833.

📄 N. C. Santosa, J. Miyazaki, H. Han. 2021. Flat vs. Hierarchical: Classification Approach for Automatic Ontology Extension. In Proceedings of Data Engineering and Information Management (DEIM).

Conclusion

Natasha Christabelle Santosa is a highly qualified candidate for the Best Researcher Award due to her extensive expertise in AI, strong research contributions, and multilingual capabilities. Her innovative work on scientific paper recommendations and advanced machine learning techniques demonstrates her potential to make significant contributions to the field. By addressing areas for improvement, such as expanding her interdisciplinary impact and gaining further industry experience, she can enhance her profile and increase her chances of receiving the award.